# data[].attributes.headline
KI für den Unterricht - Links, Ideen Ressourcen (German and Englisch resources and links)

# data[].attributes.subject
KI für den Unterricht - Links, Ideen Ressourcen (German and Englisch resources and links)

# data[].attributes.body
https://padlet.com/aliciabankhofer/ki-f-r-den-unterricht-links-ideen-ressourcen-einsatzideen-f--7qczpkgbgpthugn

# data[].attributes.body
DALL-E 2

# data[].attributes.headline
AI Image Generation Explained: Techniques, Applications, and Limitations

# data[].attributes.subject
AI Image Generation Explained: Techniques, Applications, and Limitations

# data[].attributes.body
https://www.altexsoft.com/blog/ai-image-generation/#

# data[].attributes.body
1. Enhancing Colors:

"Make it more colorful." This would instruct the AI to use vibrant and varied colors in the image.

2. Amplifying Emotions or Mood:

"Make it more dramatic." This could mean intensifying the emotional impact or the dramatic elements of the scene.

3. Increasing Detail or Complexity:

"Make it more detailed." This would ask the AI to add finer details, making the image more intricate.

4. Intensifying Light and Shadow:

"Make it more contrasted." This can be used to enhance the contrast between light and shadow, adding depth and drama.

5. Strengthening Textural Elements:

"Make it more textured." This directive would emphasize the textural aspects, like brush strokes in a painting.

6. Boosting Realism or Abstraction:

"Make it more realistic" or "Make it more abstract." Depending on the desired outcome, this would guide the AI to focus on lifelike details or abstract elements.

7. Focusing on a Specific Element:

"Make the sky more dynamic." This would instruct the AI to specifically enhance the sky portion of an image.

8. Increasing Size or Scale:

"Make the mountains more imposing." This implies making the mountains larger or more dominant in the image.

9. Augmenting Specific Styles:

"Make it more impressionistic." This would mean pushing the style elements further towards Impressionism.

10. Exaggerating Features:

"Make the characters more whimsical." This could mean making characters in the image more playful or fantastical.

# data[].attributes.body
Specify the size of the image or the elements within it. For example, "Create a large, detailed image of a medieval castle in a 3D style.

1. Aspect Ratio:

Indicate if you want a portrait (taller than wide), landscape (wider than tall), or square image. For example, "Generate a landscape aspect ratio image depicting a bustling city street in a tilt-shift photography style."

2. Perspective:

Mention if you want a bird's-eye view, worm's-eye view, or a particular angle. For instance, "Create an image of a mountain range from a bird's-eye view in watercolor style."

3. Depth of Field:

Indicate if you want a shallow or deep depth of field, especially for photographic styles. For example, "Generate an image of a rose with a shallow depth of field, in a photorealistic style."

4. Scale:

Include instructions about the scale of elements relative to each other. For example, "Create an image of a small boat in a vast ocean, emphasizing the scale difference."

5. Focus Area:

Specify if there's a particular area or element in the image that should be the focal point. For example, "In a charcoal drawing style, create an image of a street musician with the focus on the expressive face."

6. Resolution:

If the AI tool supports it, you can specify the resolution (like high resolution) for detailed artworks. For example, "Generate a high-resolution image of a futuristic cityscape in a cyberpunk style."

# data[].attributes.headline
Bilder mit KI-Tools generieren (Pages Dokument)

# data[].attributes.subject
Bilder mit KI-Tools generieren (Pages Dokument)

# data[].attributes.body
Hier das Pages Dokument herunterladen

# data[].attributes.body
https://firefly.adobe.com

# data[].attributes.body
"Create an image of [subject matter], in the style of [artistic style]. The scene should depict [specific details of the scene]. Focus on [any specific elements like colors, mood, lighting]. Make it look [any additional style elements or feelings you want to evoke]."

# data[].attributes.body
1. Minimalist Photography: Simple, clean photographic style.

2. Street Photography: Candid, urban life.

3. Landscape Photography: Natural or urban landscapes.

4. Portrait Photography: Focus on individuals or groups.

5. Conceptual Photography: Concept-driven photographic art.

6. Abstract Photography: Non-representational, experimental photography.

7. Nature Photography: Wildlife and natural environments.

8. Macro Photography: Extreme close-ups.

9. Still Life Photography: Inanimate objects.

10. Architectural Photography: Buildings and structures.

11. Photojournalism: Storytelling through photographs.

12. Fashion Photography: Clothing and fashion.

13. Fine Art Photography: Artistic and creative photography.

14. Tilt-Shift Photography: Creates a miniaturized effect using selective focus.

15. HDR (High Dynamic Range) Photography: Combines multiple exposures for contrasted results.

16. Panoramic Photography: Wide-angle view, stitching multiple images together.

17. Long Exposure Photography: Captures the effect of passing time.

18. Time-Lapse Photography: Sequence of frames at set intervals to show elapsed time.

19. Infrared Photography: Captures light beyond the visible spectrum.

20. Underwater Photography: Photography done underwater.

21. Aerial Photography: Photography from an elevated perspective.

22. Astrophotography: Photography of celestial bodies and astronomical events.

23. Macro Photography: Extreme close-up photography.

24. Light Painting: Using light sources in motion to illuminate a subject or space.

25. Bokeh Photography: Focuses on the aesthetic quality of blur in out-of-focus areas.

26. Black and White Photography: Images solely in shades of black and white.

27. Sepia Tone Photography: Gives photographs a warm, brownish tone.

28. Vignette Photography: A reduction of an image's brightness or saturation at its periphery.

29. Photographic Montage: Combining several photographs into one.

30. Lomography: Lo-fi, quirky images using specific Lomo cameras.

31. Fish-Eye Photography: Ultra wide-angle lens creating a spherical image.

32. Double Exposure Photography: Combining two different images into a single frame.

# data[].attributes.body
1. Realism: Lifelike depiction of scenes.

2. Surrealism: Dream-like, bizarre images.

3. Impressionism: Focus on light and color, less on details.

4. Expressionism: Emphasizes emotional experience.

5. Cubism: Abstract, geometric forms.

6. Futurism: Themes of technology, speed, and modernity.

7. Abstract: Non-representational, focuses on shapes and colors.

8. Minimalism: Simple, reduced elements.

9. Baroque: Grandeur, drama, and rich details.

10. Rococo: Ornate, elegant, and refined.

11. Gothic: Dark, mysterious, often medieval.

12. Steampunk: Retro-futuristic, Victorian-era technology.

13. Cyberpunk: High-tech, low-life futuristic.

14. 3D Rendering: Three-dimensional, lifelike or abstract.

15. Pixel Art: Digital art in a pixelated style.

16. Watercolor: Translucent, fluid paint style.

17. Oil Painting: Rich textures, vibrant colors.

18. Charcoal: Black and white, shadowy effects.

19. Pencil Sketch: Line art, simple or detailed.

20. Ink Drawing: Strong lines, high contrast.

21. Pastel: Soft, subtle colors.

22. Collage: Assemblage of different forms.

23. Graffiti: Street art, bold and colorful.

24. Pop Art: Bright colors, popular culture themes.

25. Art Nouveau: Flowing, natural forms.

26. Art Deco: Geometric, elegant, and modern.

27. Photorealism: Extremely realistic and detailed.

28. Concept Art: Visual representation of ideas, often for media.

29. Manga/Anime: Japanese comic and animation style.

30. Comic Book: Traditional Western comic style.

31. Storyboard: Sequential art for planning scenes.

32. Paper Quilling: Art form that uses rolled paper.

33. Caricature: Exaggerated features, often humorous.

34. Vintage: Old-fashioned, retro style.

35. Renaissance: Classical, balanced, and harmonious.

36. Neoclassicism: Inspired by classical art, clarity and simplicity.

37. Victorian: Reflects the aesthetics of the Victorian era.

38. Abstract Expressionism: Spontaneous, automatic, or subconscious creation.

39. Kinetic Art: Movement perceivable by the viewer.

40. Trompe-l'œil: Illusion to create a 3D effect.

41. Lowbrow: Pop surrealism, underground visual art movement.

42. Psychedelic: Bright, swirling colors, abstract patterns.

43. Biomechanical: Combination of organic and machine-like.

44. Environmental Art: Artistic works that address environmental issues.

45. Fantasy: Magical, mythical, and fantastical themes.

46. Sci-Fi: Science fiction themes and futuristic concepts.

47. Horror: Dark, frightening, and eerie.

48. Mosaic: Patterns made from small pieces of colored glass, stone, or other materials.

49. Stained Glass: Colored glass used to create designs and images.

50. Pointillism: Composed of tiny dots of color.

51. Byzantine: Iconic, religious-themed, with gold backgrounds.

52. High Renaissance: Advanced techniques from the Renaissance period.

53. Pre-Raphaelite: Detailed, romantic, and often literary scenes.

54. Art Brut (Outsider Art): Created outside the boundaries of traditional art.

55. Dadaism: Absurd, anti-art, and avant-garde.

56. Fauvism: Bold, shocking color.

57. Op Art: Optical illusions, abstract.

58. Constructivism: Abstract, geometric, and experimental

59. Suprematism: Basic geometric forms and limited colors.

60. Vorticism: Abstract, with a sense of movement.

61. De Stijl (Neoplasticism): Reduction to essentials of form and color.

62. Post-Impressionism: Beyond Impressionism, with more symbolic content.

63. Symbolism: Dream-like, symbolic, and mystical.

64. Arts and Crafts Movement: Traditional craftsmanship.

65. Bauhaus: Functional, geometric, and simplistic.

66. Ashcan School: Realistic and gritty urban scenes.

67. Precisionism: Clean lines and geometric shapes.

68. Regionalism: American rural life and landscapes.

69. Social Realism: Realistic depictions of everyday life.

70. Magic Realism: Realistic scenes with magical elements.

71. Naïve Art (Primitivism): Simple, childlike forms and bright colors.

72. Action Painting: Dynamic, energetic brushwork.

73. Hard-edge Painting: Sharp, clear lines.

74. Lyrical Abstraction: Spontaneous, fluid forms.

75. Color Field Painting: Large areas of a single color.

76. Gothic Revival: Inspired by medieval Gothic architecture.

77. Romanesque: Solid, massive, and rounded arches.

78. Ukiyo-e (Japanese Woodblock Prints): Traditional Japanese style.

79. Silhouette: Dark shapes against a light background.

80. Ornamental: Decor

81. Photomontage: A collage constructed from photographs.

82. Toy Photography: Using toys as subjects in photography.

83. Low Poly Art: Art style that uses geometric shapes with a low number of polygons.

84. Pixelation: Art style that uses large, visible pixels.

85. ASCII Art: Art made out of ASCII characters.

86. Glitch Art: Exploiting digital or analog errors for aesthetic purposes.

87. Generative Art: Art that in whole or part has been created with the use of an autonomous system.

88. Vaporwave: A visual art style that incorporates 1980s and 1990s mood and aesthetics.

89. Zentangle: A method of creating images from repetitive patterns.

90. Chiaroscuro: Use of strong contrasts between light and dark.

91. Kinetic Sculpture: Art that incorporates movement.

92. Installation Art: Large-scale, mixed-media constructions.

93. Textile Arts: Art involving weaving, knitting, or fabric design.

94. Glass Art: Art created by shaping glass.

95. Ceramic Art: Art made from clay bodies.

96. Metal Art: Art made from metal materials.

97. Woodworking: Creating art from wood.

98. Body Art: Art that uses the human body as a medium.

99. Graffiti Art: Art created by painting on walls and surfaces.

100. Calligraphy: Visual art related to writing.

# data[].attributes.headline
Generate AI images with Padlet - many examples

# data[].attributes.subject
Generate AI images with Padlet - many examples

# data[].attributes.body
https://padlet.com/aliciabankhofer/ki-bilder-mit-padlet-generieren-m42l5ltufoc2zgqv

# data[].attributes.body
DALL-E 2

# data[].attributes.body
https://www.adobe.com/products/firefly/discover/what-is-ai-art.html

# data[].attributes.body
https://www.craiyon.com

# data[].attributes.headline
Prompt: Create an image of a serene lakeside landscape at sunset, in the style of Impressionism. The scene should depict a calm lake with reflections of the setting sun, surrounded by tall trees. Focus on the use of light and vibrant colors to convey a peaceful, tranquil mood. Make it look like a painting with visible brush strokes and a dreamy atmosphere. Tool: Padlet. Date: 19.12.2023

# data[].attributes.subject
Prompt: Create an image of a serene lakeside landscape at sunset, in the style of Impressionism. The scene should depict a calm lake with reflections of the setting sun, surrounded by tall trees. Focus on the use of light and vibrant colors to convey a peaceful, tranquil mood. Make it look like a painting with visible brush strokes and a dreamy atmosphere. Tool: Padlet. Date: 19.12.2023

# data[].attributes.body
https://padlet.com/aliciabankhofer/custom-gpts-for-education-9atwnmgcs22696go Many created by myself but many by others

# data[].attributes.body
DALL-E 2

# data[].attributes.headline
What Are the Copyright Rules Around AI Art?

# data[].attributes.subject
What Are the Copyright Rules Around AI Art?

# data[].attributes.body
https://www.makeuseof.com/copyright-rules-ai-art/

# data[].attributes.headline
Creating Images with Generative AI - Pages for iPad

# data[].attributes.subject
Creating Images with Generative AI - Pages for iPad

# data[].attributes.body
Download the Pages workbook here

# data[].attributes.body
https://playground.com

# data[].attributes.body
"Generate an image that showcases [subject matter], using [photographic style] technique. Include elements like [specific features or aspects]. The overall tone should be [emotional tone or mood]. Highlight [any particular focus like color, light, etc.]."

# data[].attributes.body
DALL-E 2

# data[].attributes.body
AI art, explained: https://youtu.be/SVcsDDABEkM?si=t9sAXSSgWfhKfQ-b

# data[].attributes.body
Lesson Activity - give students a theme and let them create!

# data[].attributes.headline
Prompt: "Generate an image that showcases a bustling city street, using tilt-shift photography technique. Include elements like miniature-looking cars and people, with the focus on a central point of the street. The overall tone should be vibrant and lively. Highlight the contrast between the sharp central area and the blurred surroundings to enhance the miniaturization effect." Tool: Adobe Firefly Date: 19.12.2023

# data[].attributes.subject
Prompt: "Generate an image that showcases a bustling city street, using tilt-shift photography technique. Include elements like miniature-looking cars and people, with the focus on a central point of the street. The overall tone should be vibrant and lively. Highlight the contrast between the sharp central area and the blurred surroundings to enhance the miniaturization effect." Tool: Adobe Firefly Date: 19.12.2023

# data[].attributes.headline
AI Has Already Created As Many Images As Photographers Have Taken in 150 Years. Statistics for 2023

# data[].attributes.subject
AI Has Already Created As Many Images As Photographers Have Taken in 150 Years. Statistics for 2023

# data[].attributes.body
https://journal.everypixel.com/ai-image-statistics

# data[].attributes.attachment_link.provider_name
Everypixel Journal - Your Guide to the Entangled World of AI

# data[].attributes.attachment_link.readable_text
In the past year, dozens of communities dedicated to AI art have accelerated across the Internet, from Reddit to Twitter to Discord, with thousands of AI artists practicing their skills to create precise prompts and sharing the results with others. The amount of content created during this time is hard to measure, but whatever it is, it's incredibly big. We've kept track of some AI image statistics and facts and tried to estimate (at least roughly) how much content has been created since text-to-image algorithms took off last year. Read on to learn more about how we arrived at this number and how some of the most prominent algorithms contribute to it.
Featured image created by Discord user Sixu using Midjourney

Key Insights

More than 15 billion images created using text-to-image algorithms since last year. To put this in perspective, it took photographers 150 years, from the first photograph taken in 1826 until 1975, to reach the 15 billion mark.

Since the launch of DALLE-2, people are creating an average of 34 million images per day.

The fastest-growing product is Adobe Firefly, the suite of AI algorithms built into Adobe Photoshop. It reached 1 billion images created in just three months since its launch.

Midjourney has 15 million users, the largest user base of any image generation platform for which we have publicly available statistics. Compare: Adobe Creative Cloud, which consists of Adobe Photoshop and other graphic design and video editing software, including the generative AI tool Adobe Firefly, has 30 million users, according to Prodesigntools.

Approximately 80% of the images (i.e. 12.590 billion) were created using models, services, platforms, and applications based on Stable Diffusion, which is open source.

DALL-E 2

In April 2022, OpenAI released its image-generation model, DALL-E 2. For the first few months, it was available by invitation only, and the company gradually expanded access until September 2022, when the tool became available to all users without any barriers. Then OpenAI reported that users were generating more than 2 million images per day with DALL-E 2. We don't know for sure what time period OpenAI meant by this number, or if they took an average volume of images generated. We assume that this is an average, which means that approximately 916 million images have been generated on a single platform in 15 months.

Midjourney

Another prominent generative AI model, Midjourney, went live in July 2022. According to Photutorial's estimate, Midjourney's Discord (the algorithm is only available through Discord) receives about 20 to 40 jobs per second, with 15 million registered users and 1.5-2.5 million active members at any given time. With this in mind, we used 30 jobs per second as an average number of images created and get up to 2.5 million images created daily. As a result, there are 964 million images that have been created with Midjourney since its launch.

Stable Diffusion

Stable Diffusion, a text-to-image model behind the AI company Stability AI, was released in August 2022. So far, we have two official places to test Stable Diffusion: these are Dreamstudio and Stability AI's space on Hugging Face. According to Emad Mostaque, CEO of Stability AI, Stable Diffusion has more than 10 million users across all channels. If we extrapolate the Midjourney's numbers and trends that we have at hand, it turns out that through the official Stable Diffusion channels, users generate 2 million images on a daily basis, and in more than a year since the release, this number has reached 690 million images.

However, the most challenging part is that Stable Diffusion is an open-source model, which means that the amount of content created with this model is not limited to what was produced on the official spaces owned by Stability AI. We have multiple platforms, applications, and services built on top of Stable Diffusion technology. The total audience of all these entities is also quite large and incalculable, and the amount of content they produce on a daily basis is really hard to estimate. And it's growing all the time.

To get at least an idea of the scale, we took a look at some of the most popular repositories, such as GitHub, HuggingFace, and Civitai, which together have as many as tens of thousands of Stable Diffusion-based models uploaded by their users. We then went back to the Midjourney case and applied its trends to Stable Diffusion models on these platforms. However, just before we hit "publish," we received an email from the Civitai team with some valuable statistics about their platform that helped us make our estimates more precise and accurate. For example, the Civitai team shared that they have a total of 213,994,828 model downloads on their platform, while the top 10 most downloaded models account for 2% of the total weekly downloads.

As a result, we recalculated some of our estimates and found that more than 11 billion images have been created using models from these three repositories. If we add other popular models (such as Runway, which we count separately) and the official channels of Stability AI, the number of images created with Stable Diffusion increases to 12.590 billion, which represents 80% of all AI images created with text-to-image algorithms.

Adobe Firefly

The last and most recent model from our research was published in March 2023. Then, Adobe revealed Firefly, a suite of generative AI models focused on visual content creation. Within 6 weeks of launch, users created more than 100 million assets. With Firefly's integration into Adobe Photoshop in May 2023, the number of images has grown exponentially, given the number of people using Photoshop worldwide. In its latest press-release, Adobe shared its AI image statistics: the number of images created with Adobe Firefly has reached 1 billion just 3 months after launch.

In total, more than 15 billion AI-created images have been generated using Stable Diffusion, Adobe Firefly, Midjourney, and DALLE-2. That's more than Shutterstock's entire library of photos, vectors, and illustrations, and one-third of the number of images ever uploaded to Instagram.

Limitations

To sum up, our exploration of the realm of AI image statistics based on available data, and extrapolations has shed light on the scope of this phenomenon. However, it's important to acknowledge the limitations of our research.

While we've strived to provide insights into the volume of images generated by AI algorithms, obtaining accurate and up-to-date AI image statistics remains a challenge. In addition, the rapidly evolving nature of AI technology, combined with the increasing breadth of models and applications, makes it difficult to keep track of current data, which becomes outdated on a daily basis. As the landscape continues to evolve, we're committed to updating these statistics as new information becomes available. Feel free to share your feedback along with any data, insights, or observations you may have to help us keep AI image statistics current and accurate.

Sources

Civitai

EarthWeb, How Many Pictures Are on Instagram in 2023? (Photo Statistics), 2023

Photutorial, Midjourney statistics (Updated: August 2023), 2023

Photutorial, Shutterstock statistics (2023): Revenue, subscribers, market share, & more, 2023

Adobe, Adobe Firefly Expands Globally, Supports Prompts in Over 100 Languages, 2023

Social Shepherd, 22 Essential Pinterest Statistics You Need to Know in 2023, 2023

Bloomberg, Stability AI Raises Seed Round at $1 Billion Value, 2022

OpenAI, DALL·E now available without waitlist, 2022

Insider, Facebook Users Are Uploading 350 Million New Photos Each Day, 2013

Fstoppers, [Stats] How Many Photos Have Ever Been Taken?, 2012

# data[].attributes.attachment_link.title
AI Image Statistics: How Much Content Was Created by AI

# data[].attributes.attachment_link.description
Discover AI image statistics: the total number of AI images, the number of images created with Stable Diffusion, Adobe Firefly, Midjourney, DALL-E 2, and more.

# data[].attributes.body
Aktivität für die Klasse: ein Thema vorschlagen und die Schülerinnen gestalten ihre Ideen.

# data[].attributes.body
https://ideogram.ai

# data[].attributes.headline
Template Prompt for cute character by Kris Kashtanova & @icreatelife

# data[].attributes.subject
Template Prompt for cute character by Kris Kashtanova & @icreatelife

# data[].attributes.body
Prompt template: cartoon (skin color) (gender, if

desired) character with a relaxed smile on the front, wearing a (outfit of choice), (color) eyes,

(x) length (wavy, curly, straight, short) (color) hair. Hugging (whatever you want to hug, or swap to holding). 3а render, big eyes, digital painting, storybook realism, cinematic

# data[].attributes.body
https://labs.openai.com

# data[].attributes.headline
Cute cartoon female character 40 years old slightly overweight with a relaxed smile on the front, wearing a black patterned maxi dress, dark brown eyes, dark brown goddess braids hairstyle Hugging a grey Maine Coon cat. 3d render, big eyes, digital painting, storybook realism, cinematic avatar, solid colour purple background, closeup, bigger head, thinner body 

# data[].attributes.subject
Cute cartoon female character 40 years old slightly overweight with a relaxed smile on the front, wearing a black patterned maxi dress, dark brown eyes, dark brown goddess braids hairstyle Hugging a grey Maine Coon cat. 3d render, big eyes, digital painting, storybook realism, cinematic avatar, solid colour purple background, closeup, bigger head, thinner body 

# data[].attributes.body
Tool: DALL-E 3

# data[].attributes.body
https://padlet.com

# data[].attributes.body
https://stablediffusionweb.com

# data[].attributes.body
https://leonardo.ai

# data[].attributes.body
https://www.freepik.com/ai/image-generator

# data[].attributes.attachment_link.title
AI Image Generator - Free Text to Image | Freepik

# data[].attributes.attachment_link.description
Free text to image AI Generator. Brings imagination to life producing wonderful art, illustrations and designs with our Artificial Intelligence Image Generator